International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,November 2017,

Topic : A Survey on User Behavior Clustering in Multimedia Social Networks

Authors:Swetha Koduri || T. Satya kiranmai

Abstract:This Survey investigates how quantitative user data, extracted from server logs, and clustering algorithms can be used to model and understand user-behavior. The Survey also investigates how the results compare to the more traditional method of qualitative user-behavior analysis through observations. The results show that clustering of all user data, only a small subset of users increases the reliability of findings. However, the quantitative method has a risk of missing important insights that can only be discovered through observation of the user. The conclusion drawn in this survey is that a combination of both is necessary to truly understand the user-behavior..

Keywords: Multimedia , User-behavior, quantitative

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DOI: 01.1617/vol4/iss11/pid54680


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ARTICLES PUBLISHED:0521
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Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
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